2 papers
cs.CV2026
XD-MAP: Cross-Modal Domain Adaptation via Semantic Parametric Maps for Scalable Training Data Generation
Frank Bieder, Hendrik Königshof, Haohao Hu +4
Until open-world foundation models match the performance of specialized approaches, deep learning systems remain dependent on task- and sensor-specific data availability. To bridge…
cs.RO2024
Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
Miguel Ãngel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu +3
Localization in aerial imagery-based maps offers many advantages, such as global consistency, geo-referenced maps, and the availability of publicly accessible data. However, the la…